Enterprise Information / Data Architect

Enterprise Information / Data Architect

Location: Hybrid, 2-3 days per week onsite in London Rate: £650-£690 per day inside IR35 Clearance: BPSS Required UK Passport Holder

We're seeking an experienced Enterprise Information / Data Architect to help shape and deliver the enterprise data strategy for a major transformation programme. This is a senior, enterprise-level architecture role focused on defining target-state data architecture, governance, information models, and data capabilities across a complex organisation.

You'll work closely with business, technology, and architecture teams to ensure data is structured, governed, and leveraged effectively to support decision-making, regulatory requirements, and digital transformation initiatives.

Key Responsibilities

Define and maintain current and target-state enterprise data architectures. Develop conceptual, logical, and physical data models. Establish enterprise data domains, canonical models, ontologies, semantic layers, and metadata frameworks. Create data architecture roadmaps aligned to business and digital strategy. Drive data governance, lineage, quality, observability, and master data management initiatives. Ensure alignment between enterprise data models and solution architectures. Partner with business and technology stakeholders to define requirements and data strategies. Contribute to Architecture and Design Authority governance activities. Act as a thought leader, mentoring architects, analysts, and data teams.

Essential Skills & Experience

Strong enterprise-level Information or Data Architecture experience. Expertise in data strategy, governance, metadata management, ontologies, knowledge graphs, and semantic modelling. Experience designing end-to-end data architectures across complex organisations. Strong Azure data platform experience, including Databricks. Experience delivering large-scale transformation programmes. Ability to influence and challenge senior stakeholders, including C-suite executives. Experience within complex, asset-heavy, property, real estate, or similar environments. Finance transformation experience. Excellent communication and stakeholder management skills.

Desirable Skills

TOGAF, DAMA-DMBOK, or similar architecture frameworks. Experience supporting AI, advanced analytics, and machine learning initiatives. Knowledge of SQL and/or Python. LeanIX, ARIS, or other Enterprise Architecture tooling. Geospatial data and digital twin experience. Agile or hybrid delivery experience.This is an excellent opportunity for a senior data architecture professional looking to influence enterprise strategy and drive impactful data transformation across a complex business environment.

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